Molds, hailed as the "mother of industry," form the foundation for manufacturing industrial products. For decades, mold design in this sector relied on manual drafting by experienced technicians—a process that was time-consuming and labor-intensive. Today, AI is transforming this landscape: Foshan Dajie Intelligent has introduced an AI-powered stamping mold design system that reduces the design cycle from over ten days to just 3–4 hours, boosting efficiency by more than tenfold; Wuxi Xiongwei Precision Engineering's self-developed AI mold design platform significantly cuts design time for certain mold categories while reducing workforce requirements; Huangyan's mold industry is accelerating AI adoption through research institute collaboration, and local manufacturer KSHOW is actively deploying this technology. Industry experts emphasize that AI-enhanced mold design will not replace engineers but automate repetitive tasks, enabling engineers to focus on creative work and improve efficiency. To learn about KSHOW's AI mold design solutions, please contact +86-18957424655 or email sale@kshowmould.com.
The surge in new energy vehicles has fundamentally reshaped the mold industry landscape: the development cycle for fuel-powered vehicles, previously 4–5 years, has now been shortened to just 1–2 years or even half a year. Accelerated product iteration demands higher efficiency and precision in mold design, yet traditional approaches have reached their limits. When engineers use foreign CAD software, only 30% of their time is devoted to decision-making based on experience, while 70% is spent on mechanical operations; design quality heavily relies on personal expertise, making errors almost inevitable. Training qualified mold engineers takes 5–8 years, rendering conventional methods unsustainable. In response, Xiongwei Precision Engineering has proactively invested tens of millions of yuan to pioneer AI-driven research and development in mold design.
Dajie Intelligence's technological breakthrough originated from the key AI design research for stamping dies initiated by JiHua Laboratory in 2020, during a period of rapid growth in the new energy vehicle industry where traditional design methods proved inadequate. The company's core team, with extensive experience in automotive tooling and numerous mass-production die engineering cases, lacked foundational AI algorithm capabilities. By collaborating with the laboratory's algorithm development team, they conducted iterative validation over one to two years and small-scale testing with leading automakers, gradually stabilizing the product. Today, the system achieves fully autonomous AI design: engineers only need to specify objectives and parameters, while the system autonomously completes all design tasks, replacing manual labor with AI. New employees require only 1–2 months of training before operation, while senior engineers focus solely on review and optimization. The system has been adopted by multiple top automakers, covering 15 modules with over 200 functions, achieving a 40% improvement in overall design efficiency and reducing cost waste by 30%–40%. By 2025, these achievements were recognized as internationally advanced, elevating KSHOW's intelligent die design technology to a global leadership level. Xiongwei Precision Engineering leveraged AI-assisted design to reduce workloads from five-person efforts requiring several days to just three days per person, shortening the entire product development cycle to 45 days. When serving European daily goods packaging clients, KSHOW's technical manager noted that positive market feedback reinforced their commitment to AI-assisted design, while industry innovations provided valuable insights. As a specialized manufacturer of injection molds, KSHOW is now exploring extending AI design applications from stamping dies to high-repetition, highly experience-dependent processes in multi-cavity injection molding.
As the "Hometown of Chinese Molds," Huangyan accounts for approximately one-tenth of China's mold production volume. In response to the AI revolution, the Huangyan District Government collaborated with the Hefei Institute of Artificial Intelligence and Big Data to establish the Zhejiang Southeast Institute of Artificial Intelligence and Big Data, which integrates top-tier resources to focus on AI-driven innovation in mold design. The institute has developed the first innovative development platform in the field that combines multi-agent collaboration with decision-making AI, featuring capabilities such as design experience accumulation and process parameter optimization. Leading partner Saihao Mould reported that this platform reduces design cycles by approximately 30%, cuts design modifications by over 40%, and improves new designers' accuracy rates from 60% to 90%. Additionally, the institute has created a UG secondary development platform for Saihao, enabling self-service development of nearly 80% of common small plugins. KSHOW based in Huangyan is evaluating implementation strategies for AI-assisted design tools in injection molds. We welcome industry discussions; contact information: WhatsApp/WeChat: +86-18957424655.
Dajie Intelligence's platform-based intelligent design engine is expanding from automotive stamping molds to broader industrial sectors and manufacturing processes. The company has already partnered with Hisense in the home appliance sector, demonstrating significant potential for AI-driven design in injection molding molds—where multiple production stages can be optimized through AI integration. However, implementing such technology proves challenging; Dajie Intelligence conducted extensive testing to ensure product stability, and successful implementation will generate substantial value. As industry competition intensifies, technological iteration becomes increasingly essential.
A representative from Dajie Intelligence believes that AI presents a strategic opportunity for China's mold industry to achieve leapfrog development. Historically, industrial software for R&D and design has been predominantly dominated by foreign vendors, with domestic solutions accounting for less than 10% of the market. AI is driving upgrades in industrial software, enabling domestic developers to bypass traditional catch-up models and directly enter the realm of intelligent design. KSHOW, which has been operating in Huangyan for 15 years, maintains that while AI will not replace mold engineers, engineers proficient in AI will replace those lacking this expertise. KSHOW is actively embracing technological transformation by leveraging advanced design tools to deliver faster production cycles, superior quality, and lower costs for its clients.
From now until October 31,2026, customers inquiring about mold design optimization projects via email at sale@kshowmould.com or designated contact methods will receive a free AI-assisted mold flow analysis design evaluation report valued at $1,500, covering features such as gate position optimization.
If you're interested in AI applications in mold design or want to learn how KSHOW leverages new technologies to reduce costs and improve efficiency, please contact us.
Phone/WhatsApp: +86-18957424655
Email: sale@kshowmould.com
Website: www.taizhoumold.com
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